
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "122"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 78 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 74 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.463764	-0.377034	1.515913	-0.086139	-1.004147	-0.654737	-0.243024	-0.555132	0.8108	0.8139	0.2281	9.806608	9.148392
2459593	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	270.411403	270.606157	inf	inf	65.967140	71.286440	390.922437	419.957563	nan	nan	nan	0.000000	0.000000
2459592	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.135379	-1.141956	0.870849	0.888004	-0.574361	-0.246782	-1.822568	-0.067845	0.0398	0.0306	0.0020	nan	nan
2459591	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.083711	0.475012	0.999104	-0.828197	-0.676143	-1.472199	-0.886012	-0.811805	0.6936	0.7012	0.3551	7.381110	7.355315
2459590	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.561951	1.013147	1.228672	-0.526330	-0.491042	-0.617795	-0.748743	-0.800472	0.6948	0.7006	0.3521	6.297543	5.761824
2459589	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.093905	0.511622	1.388378	-0.535904	-0.763964	0.187704	-0.258443	-1.018347	0.7360	0.7279	0.2712	6.483997	5.935137
2459588	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.174087	0.805397	1.276082	0.410034	-1.112922	-0.722854	-0.950364	-0.861881	0.8004	0.7836	0.2058	9.972826	8.396070
2459587	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	0.082973	0.636667	1.121913	-0.345758	0.411963	-1.007812	-0.807607	-0.436027	nan	nan	nan	0.000000	0.000000
2459586	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.019250	0.314565	1.243857	0.873158	1.326582	-0.140716	-1.389494	-1.396045	0.6746	0.6822	0.3514	4.951064	4.320734
2459585	digital_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.379053	-0.371556	2.006288	1.643437	1.609310	1.146007	-1.311964	-0.379223	0.0360	0.0332	0.0015	0.000000	0.000000
2459584	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	16.525664	15.423574	2.203567	2.896277	3.549481	3.154561	2.359565	2.151754	0.6873	0.6949	0.3691	0.000000	0.000000
2459583	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.464357	0.341481	-0.516761	-0.608591	0.357745	-0.361765	-0.373588	-0.412160	0.6927	0.6963	0.3687	0.000000	0.000000
2459582	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.633493	1.569527	-0.263086	-0.449039	-0.019845	-1.397819	-0.760933	-0.726016	0.6948	0.6978	0.3707	4.818783	3.989323
2459581	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.479290	2.127059	-0.970420	-0.898096	-0.428825	-1.033467	-0.305582	-0.677705	0.7042	0.7053	0.3644	5.473392	4.208549
2459580	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.532108	0.885709	-0.364416	-0.818465	0.539974	-0.477613	-0.755030	-0.770199	0.6947	0.6998	0.3663	0.000000	0.000000
2459579	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.691746	1.027385	-0.190820	-0.419783	0.096258	-1.362949	-0.656241	-0.638405	0.6930	0.6986	0.3669	8.550938	6.055088
2459578	digital_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.157343	0.833969	-0.923333	-0.802711	-0.674912	-0.849454	-0.613642	-0.609795	0.6940	0.7005	0.3682	5.559124	4.515330
2459576	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.163464	0.465290	-0.667096	-0.317761	-0.850980	-0.490608	-0.244367	-0.012754	0.7172	0.7243	0.3692	6.150167	5.248099
2459575	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.252854	0.970433	-0.703390	-0.301896	-0.407729	-0.294618	-0.917782	-0.420723	0.7752	0.7761	0.3097	10.486046	9.449817
2459574	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459573	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.491040	0.676543	-0.223652	-0.636803	0.198657	-0.624274	-0.660160	-0.298555	0.7112	0.7217	0.3634	5.068553	4.134224
2459572	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.078559	0.560377	-0.739285	-0.470335	-0.494653	-0.575936	-0.378006	-0.360529	0.7141	0.7239	0.3653	10.936583	8.197958
2459571	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.918157	-0.659348	0.471788	0.937353	-0.369569	-0.439759	-0.253438	-0.865065	0.0625	0.0334	0.0058	nan	nan
2459570	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.813014	0.455157	0.030364	0.326254	0.218863	0.767927	1.681703	0.539831	0.7121	0.7319	0.3376	0.000000	0.000000
2459569	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.140363	0.968177	-0.865753	-0.536900	-1.162687	-1.105150	-0.943382	-0.634895	0.7866	0.7898	0.2196	6.843508	5.392730
2459566	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.262987	1.422341	-0.720564	-0.605346	-0.863673	-0.767993	0.103679	1.606652	0.7040	0.7099	0.3765	7.011857	5.024312
2459565	digital_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.253759	0.828060	-0.630347	-0.326128	-0.756689	-0.041350	-0.409573	-0.112785	0.7230	0.7244	0.3738	3.700598	3.132814
2459563	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.147127	0.882543	-0.400358	-0.333714	0.600299	-0.510740	-0.464897	-0.489326	0.7165	0.7218	0.3720	4.958842	4.134153
2459562	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.280183	0.439687	-0.299051	-0.007916	-0.216437	0.295517	0.279658	0.298571	0.7189	0.7274	0.3673	3.641249	3.081335
2459561	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.064390	0.578498	-0.580487	-0.104046	-0.853120	0.294600	0.031429	0.349295	0.7197	0.7284	0.3662	3.287640	2.840859
2459560	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.002979	0.957305	-0.326213	-0.149117	-0.489527	0.635183	0.104628	-0.040910	0.7138	0.7207	0.3747	3.740788	3.132001
2459559	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.091522	0.789764	-0.353720	-0.257078	-0.762241	0.464904	0.028347	-0.019920	0.7139	0.7204	0.3671	3.174136	2.701529
2459558	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.281494	1.424591	-0.070874	-0.307818	0.181764	-0.223323	-0.261767	-0.278797	0.7192	0.7207	0.3701	4.262443	3.493965
2459557	digital_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0342	0.0301	0.0020	nan	nan
2459556	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.480954	0.864078	-0.283725	-0.259294	-0.242500	-0.609112	-0.012956	1.977256	0.7168	0.7220	0.3704	3.869941	3.250903
2459554	digital_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7201	0.7269	0.3781	nan	nan
2459553	digital_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7172	0.7251	0.3782	nan	nan
2459552	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.564441	1.103404	-0.716408	-0.845430	-0.263249	2.417586	-0.605570	-0.004242	0.7297	0.7274	0.3694	12.093780	10.182115
2459551	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.855918	0.845040	-0.415464	-0.308810	-0.660788	0.063354	0.010045	0.014608	0.7220	0.7240	0.3663	3.929752	3.168675
2459550	digital_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0459	0.0395	0.0021	nan	nan
2459549	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.283940	1.209925	-0.825435	-0.834173	-0.711810	-0.651146	-0.403827	-0.296993	0.7196	0.7249	0.3765	4.236254	3.361276
2459542	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.399699	1.713123	-0.942877	-0.671021	-0.341188	-0.357639	-0.846556	-0.539365	0.7653	0.7725	0.3355	4.054502	3.268055
2459541	digital_maintenance	0.00%	1.34%	1.34%	0.00%	100.00%	0.00%	0.268430	1.531860	-0.905858	-0.949040	-0.725018	0.647900	-1.447525	-0.915880	0.7604	0.7609	0.3102	5.063516	4.538215
2459540	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.472289	1.588670	-0.674006	-0.007721	0.338818	-1.008055	-0.618069	-0.180108	0.7686	0.7672	0.3236	3.484636	2.960342
2459536	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.000637	1.590641	-0.806626	-0.773033	-0.824418	-0.957954	0.068630	0.318554	0.7524	0.7498	0.3913	5.654316	4.635769
2459535	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.532994	1.306192	-0.473604	-0.051642	0.491026	-0.963346	-0.553197	-0.381461	0.7986	0.7907	0.3316	3.691903	2.916310
2459534	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.768252	1.134450	-0.552251	-0.011359	1.326382	-0.337693	-0.140627	-0.355374	0.7866	0.7741	0.3384	4.634390	3.733954
2459533	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.379532	1.146913	-0.201836	-0.750045	-0.097530	0.133743	-0.541315	-0.348436	0.7376	0.7452	0.3770	3.649258	3.127405
2459532	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.908401	1.462470	-0.244905	-0.506617	-0.693988	-0.681961	-0.040831	-0.349850	0.7432	0.7464	0.3707	4.529366	3.649963
2459530	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.942939	0.611928	-0.386180	-0.126286	-0.553317	0.196102	0.014538	-0.088972	0.7577	0.7552	0.3711	5.050172	3.833861
2459527	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.315115	0.913051	-0.319741	-0.527158	-1.549104	0.166502	-0.492447	-0.097769	0.9153	0.9481	0.2726	0.000000	0.000000
2459523	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	0.013514	1.245537	-1.099822	-1.056477	-0.370909	0.813987	0.471947	0.896323	nan	nan	nan	5.829599	4.260129
2459522	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.199429	0.809453	-0.712834	-0.932248	-1.137031	-0.869139	0.355268	1.229187	0.7066	0.7339	0.3143	4.574447	5.292077
2459513	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.914234	-0.790482	0.117131	0.383930	-0.100406	-0.793370	-0.247415	-0.390185	0.0879	0.0536	0.0078	nan	nan
2459508	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.233064	1.036126	-0.572558	-0.132931	-1.003509	-0.161989	-1.041049	-0.563897	0.9277	0.9595	0.1473	0.000000	0.000000
2459505	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.533539	1.483895	-0.816020	-0.427107	-0.331645	-0.597021	0.030558	-0.111425	0.8935	0.8762	0.1812	20.305482	20.327823
2459503	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.373089	1.192000	-0.819911	-0.413216	-0.837479	-0.572229	0.018666	1.057755	0.8941	0.8906	0.3872	0.000000	0.000000
2459501	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.164086	1.760140	0.066411	-0.714476	-0.275591	0.417816	-0.747674	-0.443716	0.8955	0.9238	0.3556	0.000000	0.000000
2459500	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.998423	0.754947	0.001227	-0.505019	0.038525	-0.590226	-0.607455	-0.141311	0.9042	0.9201	0.3566	0.000000	0.000000
2459499	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.583204	0.518433	-0.216255	-0.237354	-0.033761	-0.392729	-0.694316	0.056544	0.8967	0.9497	0.1800	0.000000	0.000000
2459498	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.691678	0.050588	-0.267482	-0.636703	-0.081621	-0.482940	-0.799391	-0.555673	0.9145	0.9235	0.3821	0.000000	0.000000
2459497	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.227846	0.268535	-0.175962	-0.911699	-0.136360	-0.697900	-0.418048	-0.019297	0.9208	0.9405	0.3136	0.000000	0.000000
2459496	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.404915	0.204846	-0.430849	-0.509013	-0.044145	-0.446484	-0.503859	1.670120	0.9053	0.9153	0.3607	0.000000	0.000000
2459495	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.015756	0.040700	-0.505858	-0.519682	0.057179	-0.217363	-0.688049	0.043321	0.9020	0.9113	0.3873	0.000000	0.000000
2459494	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.783071	0.210414	-0.026623	-0.329992	0.584146	-0.391363	-0.882410	-0.615447	0.8983	0.9060	0.4001	0.000000	0.000000
2459492	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.687190	1.401588	5.477190	0.550094	20.275284	9.163990	106.608469	29.421121	0.7094	0.8054	0.3332	0.000000	0.000000
2459491	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.285357	1.483682	-1.357082	-0.971214	-0.385868	-0.642984	0.179622	2.534118	0.8007	0.8251	0.2674	0.000000	0.000000
2459490	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.715117	2.581542	-1.797340	-1.011802	-0.325614	-0.181256	1.461857	7.197172	0.7630	0.8136	0.3549	0.000000	0.000000
2459489	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.664289	1.000589	-1.483784	-1.197569	0.007795	-0.677671	-0.310538	-0.354589	0.7782	0.8205	0.3180	0.000000	0.000000
2459488	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.538631	0.980830	-0.870564	-0.870322	-0.585393	-0.666132	-0.578637	0.910624	0.7808	0.8224	0.3361	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 122 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 122, Node 8:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶